| Literature DB >> 30850521 |
Jason A Wagoner1, Ken A Dill2,3,4.
Abstract
How does a biomolecular machine achieve high speed at high efficiency? We explore optimization principles using a simple two-state dynamical model. With this model, we establish physical principles-such as the optimal way to distribute free-energy changes and barriers across the machine cycle-and connect them to biological mechanisms. We find that a machine can achieve high speed without sacrificing efficiency by varying its conformational free energy to directly link the downhill, chemical energy to the uphill, mechanical work and by splitting a large work step into more numerous, smaller substeps. Experimental evidence suggests that these mechanisms are commonly used by biomolecular machines. This model is useful for exploring questions of evolution and optimization in molecular machines.Keywords: evolution; free-energy landscape; kinetic optimization; molecular machines; nonequilibrium steady state
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Year: 2019 PMID: 30850521 PMCID: PMC6442566 DOI: 10.1073/pnas.1812149116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205